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DBMS > Datomic vs. GeoMesa vs. Google Cloud Firestore vs. OrientDB

System Properties Comparison Datomic vs. GeoMesa vs. Google Cloud Firestore vs. OrientDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSSpatial DBMSDocument storeDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.datomic.comwww.geomesa.orgfirebase.google.com/­products/­firestoreorientdb.org
Technical documentationdocs.datomic.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlfirebase.google.com/­docs/­firestorewww.orientdb.com/­docs/­last/­index.html
DeveloperCognitectCCRi and othersGoogleOrientDB LTD; CallidusCloud; SAP
Initial release2012201420172010
Current release1.0.7075, December 20235.0.0, May 20243.2.29, March 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache License 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureScalaJava
Server operating systemsAll OS with a Java VMhostedAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnononoSQL-like query language, no joins
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes, Firebase Rules & Cloud FunctionsJava, Javascript
TriggersBy using transaction functionsnoyes, with Cloud FunctionsHooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersdepending on storage layerMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentdepending on storage layer
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and roles; record level security configurable

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More resources
DatomicGeoMesaGoogle Cloud FirestoreOrientDB
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